Ramdas G. Pai
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Epidemiology
- Co-authors
- Kanwaljit S. GillPadmini VaradarajanLiset StoletniyTohru TanigawaAndrzej S. TarnawskiKayoko HiguchiTakamitsu ArakawaAshis K. Mukherjee
- Topics
- Cardiac Imaging and Diagnostics (9 papers)Cardiac Structural Anomalies and Repair (9 papers)Cardiovascular Function and Risk Factors (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingInternal Medicine
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Ramdas G. Pai
27 papers receiving 389 citations
Peers
Comparison fields: 5 of 68
- Cardiology and Cardiovascular Medicine 323
- Radiology, Nuclear Medicine and Imaging 136
- Surgery 87
- Pulmonary and Respiratory Medicine 39
- Epidemiology 34
Countries citing papers authored by Ramdas G. Pai
This map shows the geographic impact of Ramdas G. Pai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ramdas G. Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramdas G. Pai more than expected).
Fields of papers citing papers by Ramdas G. Pai
This network shows the impact of papers produced by Ramdas G. Pai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ramdas G. Pai. The network helps show where Ramdas G. Pai may publish in the future.
Co-authorship network of co-authors of Ramdas G. Pai
This figure shows the co-authorship network connecting the top 25 collaborators of Ramdas G. Pai. A scholar is included among the top collaborators of Ramdas G. Pai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ramdas G. Pai. Ramdas G. Pai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 25 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 16 | |
| 8 | 14 | |
| 9 | Abstract 1206: Survival Patterns in Patients with Coronary Microvascular Dysfunction | 0 |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 108 | |
| 18 | 81 | |
| 19 | 1 | |
| 20 | 23 |
About Ramdas G. Pai
Ramdas G. Pai is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 33 papers that have together received 410 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (9 papers), Cardiac Structural Anomalies and Repair (9 papers) and Cardiovascular Function and Risk Factors (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (323 citations), Radiology, Nuclear Medicine and Imaging (136 citations) and Internal Medicine (12 citations). Ramdas G. Pai has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Kanwaljit S. Gill, Padmini Varadarajan, Liset Stoletniy, Tohru Tanigawa, Andrzej S. Tarnawski, Kayoko Higuchi, Takamitsu Arakawa, Ashis K. Mukherjee, Balaji Natarajan and Pravin Shah. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and American Heart Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.